Results 71 to 80 of about 647,012 (294)
CALCULATION OF WEIGHT COEFFICIENTS IN CONTINUOUS PARTICLE FILTER
Научный вестник МГТУ ГА, 2018 This article shows the relationship between filters based on modeling of the random process paths with terminating and branching and a continuous particle filter that are related to sequential Monte Carlo methods.
K. A. Rybakov
doaj +1 more source
Computationally efficient solutions for tracking people with a mobile robot: an experimental evaluation of Bayesian filters [PDF]
, 2010 Modern service robots will soon become an essential part of modern society. As they have to move and act in human environments, it is essential for them to be provided with a fast and reliable tracking system that localizes people in the neighbourhood ...
A. Tapus +14 more
core +1 more source
Particle Gaussian mixture filters-I
Automatica, 2018 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Raihan, Dilshad, Chakravorty, Suman
openaire +3 more sources
Molecular Oncology, EarlyView.This work identified serum proteins associated with pancreatic epithelial neoplasms (PanINs) and early‐stage PDAC. Proteomics screens assessed genetically engineered mice with abundant PanINs, KPC mice (Lox‐STOP‐Lox‐KrasG12D/+ Lox‐STOP‐Lox‐Trp53R172H/+ Pdx1‐Cre) before PDAC development and also early‐stage PDAC patients (n = 31), compared to benign ...
Hannah Mearns +10 more
wiley +1 more source
Influence of filtration on I/O particle concentration ratios at urban office buildings [PDF]
, 2012 Epidemiological research has consistently shown an association between fine and ultrafine particle concentrations, and increases in both respiratory and cardiovascular morbidity and mortality.
He, Congrong +3 more
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Path storage in the particle filter
, 2014 This article considers the problem of storing the paths generated by a particle filter and more generally by a sequential Monte Carlo algorithm. It provides a theoretical result bounding the expected memory cost by $T + C N \log N$ where $T$ is the time ...
Jacob, Pierre E. +2 more
core +3 more sources
Particle-filtering approaches for nonlinear Bayesian decoding of neuronal spike trains [PDF]
, 2018 The number of neurons that can be simultaneously recorded doubles every seven years. This ever increasing number of recorded neurons opens up the possibility to address new questions and extract higher dimensional stimuli from the recordings.
Kutschireiter, Anna +1 more
core +1 more source
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
A New Modified Particle Filter With Application in Target Tracking
Iranian Journal of Electrical and Electronic Engineering, 2020 The particle filter (PF) is a novel technique that has sufficiently good estimation results for the nonlinear/non-Gaussian systems. However, PF is inconsistent that caused mainly by loss of particle diversity in resampling step and unknown a priori ...
R. Havangi
doaj
Visual object tracking based on Motion-Adaptive Particle Filter under complex dynamics
EURASIP Journal on Image and Video Processing, 2017 This paper presents a novel particle filter called Motion-Adaptive Particle Filter (MAPF) to track fast-moving objects that have complex dynamic movements.
Songxiao Cao, Xuanyin Wang, Ke Xiang
doaj +1 more source